This is the Linux app named AdPreqFr4SL whose latest release can be downloaded as AdPreq4FrSL0.1.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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AdPreqFr4SL
Ad
DESCRIPTION
The AdPreqFr4SL learning framework for Bayesian Network Classifiers is designed to handle the cost / performance trade-off and cope with concept drift. Our strategy for incorporating new data is based on bias management and gradual adaptation. Starting with the simple Naive Bayes, we scale up the complexity by gradually updating attributes and structure. Since updating the structure is a costly task, we use new data to primarily adapt the parameters and only if this is really necessary, do we adapt the structure. The method for handling concept drift is based on the Shewhart P-Chart.
Project homepage: http://adpreqfr4sl.sourceforge.net
Audience
Developers, Information Technology, Science/Research
User interface
Console/Terminal
Programming Language
Java
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/adpreqfr4sl/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
